IR2SIS - Signals and Systems
|Signals and Systems
|Electrical Engineering and Computing
|Computer Engineering and Informatics
|Type of study
|bachelor academic studies
|Lecturer (for classes)
|Lecturer/Associate (for practice)
|Lecturer/Associate (for OTC)
|Objective of the course is to inform the students about the modelling of continuous and discrete systems as well as about the characterization of continuous and discrete signals. Also, the objective is for the students to understand basic tools for signals and systems analysis in time, frequency and complex domain.
|After the passing this exam, student will have skills to classify and analyze the experimentally measured signals, to make basic experiments on systems, and to apply different techniques for signals and systems analysis (Fourier series, Fourier transformation, Laplace transformation, zed transformation).
|Contents of lectures
|Classification of signals and systems; Systems properties; Fourier series of periodic signals; Fourier transformation; Bode diagrams; Laplace transformation; Transfer function; Stability and causality of continuous and discrete LTI systems; Zed transformation of discrete signals; Shannon theorem about signals sampling; Discrete Fourier transform.
|Contents of exercises
|Within this course, students have obligation to solve three practical problems: 1. Calculation of signals convolution; 2. approximation of periodic signals using MATLAB; 3. calculation of system frequency response.
|Number of hours per week during the semester/trimester/year
|Study and Research
|Methods of teaching
|45 hours of lectures + 15 hours of auditory exercising + 15 hours of practical exercising with computers
|Knowledge score (maximum points 100)
|Activites during lectures